Diversity inducing Information Bottleneck in Model Ensembles

Diversity inducing Information Bottleneck in Model Ensembles

10 March 2020

Homanga Bharadhwaj

Hugo Larochelle

Florian Shkurti

Papers citing "Diversity inducing Information Bottleneck in Model Ensembles"

13 / 13 papers shown

Title
Quantifying Correlations of Machine Learning Models Yuanyuan Li Neeraj Sarna Yang Lin 83 0 0 06 Feb 2025
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 14 2 0 08 Apr 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 38 13 0 01 Feb 2023
A Unified Theory of Diversity in Ensemble Learning Danny Wood Tingting Mu Andrew M. Webb Henry W. J. Reeve M. Luján Gavin Brown UQCV 18 41 0 10 Jan 2023
Variational Distillation for Multi-View Learning Xudong Tian Zhizhong Zhang Cong Wang Wensheng Zhang Yanyun Qu Lizhuang Ma Zongze Wu Yuan Xie Dacheng Tao 26 5 0 20 Jun 2022
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 24 0 0 20 Dec 2021
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 39 153 0 16 Dec 2021
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 18 60 0 20 Oct 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 16 22 0 22 May 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving Alexander Cui Sergio Casas Abbas Sadat Renjie Liao R. Urtasun 111 126 0 16 Jan 2021
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 22 26 0 08 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015